Background: Excessive exposure to noise places nurses at risk for safety events, near-misses, decreased job performance, and fatigue. Noise is particularly a concern in pediatric intensive care units, where highly skilled providers and vulnerable patients require a quiet environment to promote healing.
Objective: To measure noise levels and noise duration on specialty pediatric intensive care units to explore sources of noise and its effects on the health of registered nurses.
Methods: In a cross-sectional pilot study, levels and sources of noise in 3 different specialty pediatric intensive care units were assessed. Fifteen nurses were observed for 4-hour sessions during a 24-hour period. Sound pressure levels (noise) and heart rate were measured continuously, and stress ratings were recorded. Descriptive statistics were calculated for noise (level, source, location, and activity), heart rate, and stress. The Pearson correlation coefficient was calculated to analyze the relationship between heart rate and noise.
Results: Mean noise level was 71.9 (SD, 9.2) dBA. Mean heart rate was 85.2/min (SD, 15.8/min) and was significantly associated with noise, unit, within-unit location, nurse sources, and noise activities. The most frequent sources of noise were patients' rooms, care activities, and staff communications.
Conclusions: Noise levels in pediatric intensive care units exceed recommended thresholds and require immediate attention through effective interventions. Although noise was not associated with stress, a significant correlation with increased heart rate indicates that noise may be associated with adverse health outcomes.
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http://dx.doi.org/10.4037/ajcc2015260 | DOI Listing |
Matern Child Health J
January 2025
Children's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Introduction: Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on model performance during variable selection. This study compared the Random Forest (RF) algorithm and stepwise regression (SWR) for variable selection using data from a paediatric sepsis screening tool, where 18 out of 32 predictors had a prevalence < 10%.
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January 2025
Department of Biostatistics and Medical Informatics, Faculty of Medicine, Kocaeli University, Kocaeli, Turkey.
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January 2025
State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Methicillin-resistant (MRSA) is a refractory pneumonia-causing pathogen due to the antibiotic resistance and the characteristics of persisting inside its host cell. Lysostaphin is a typical bacteriolytic enzyme for degrading bacterial cell walls via hydrolysis of pentaglycine cross-links, showing potential to combat multidrug-resistant bacteria. However, there are still grand challenges for native lysostaphin because of its poor shelf stability and limited bioavailability.
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January 2025
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Methods: We analyzed data from a prospective surveillance registry of infants hospitalized for RSV-related complications across 39 U.
Tunis Med
January 2025
University of Sfax, Military University Hospital of Sfax, Cardiology Department, Sfax, Tunisia.
Introduction: Nemaline myopathy (NM), also known as Nemalinosis, is a rare congenital muscle disease with an incidence of 1 in 50000. It is characterized by nemaline rods in muscle fibers, leading to muscle weakness. We reported a case of NM revealed by cardiac involvement, and we highlighted the challenges in diagnosing this condition as well as its poor prognosis.
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